High Frequency Trading information
See Kansas salary details
$12.86 - $15.75
12% of jobs
$15.75 - $18.63
6% of jobs
$20.02 is the 25th percentile. Wages below this are outliers.
$18.63 - $21.52
15% of jobs
$21.52 - $24.40
0% of jobs
$24.40 - $27.29
0% of jobs
$27.29 - $30.17
0% of jobs
$30.17 - $33.05
3% of jobs
$33.05 - $35.94
8% of jobs
The median wage is $36.82 / hr.
$35.94 - $38.82
19% of jobs
$40.45 is the 75th percentile. Wages above this are outliers.
$38.82 - $41.71
21% of jobs
$41.71 - $44.59
16% of jobs
How much do high frequency trading jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for high frequency trading in Kansas is $32.59, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $41.15 per hour, depending on experience, location, and employer.
High frequency trading (HFT) is a type of algorithmic trading that uses powerful computers and complex algorithms to execute a large number of trades at extremely high speeds, often in fractions of a second. HFT strategies typically focus on capturing small price discrepancies in financial markets, profiting from rapid buying and selling. This trading style relies on advanced technology, co-location with exchanges, and low-latency data feeds to gain a competitive edge. HFT plays a significant role in today's financial markets, contributing to liquidity and market efficiency, but it also raises concerns about market fairness and stability.
To thrive in High Frequency Trading, you need a strong background in quantitative analysis, computer science, mathematics, and a relevant degree (such as in math, physics, or engineering). Expertise in programming languages like C++, Python, and familiarity with trading platforms and low-latency systems are critical, along with knowledge of financial markets. Exceptional problem-solving abilities, attention to detail, and the ability to work under intense pressure are key soft skills that distinguish top performers. These competencies are essential for developing, optimizing, and executing rapid trading strategies that require precision and adaptability in highly competitive markets.
Professionals in high frequency trading (HFT) often face challenges such as maintaining ultra-low latency in trading systems, adapting quickly to evolving market conditions, and managing the risks associated with high-speed automated strategies. Collaboration with technology and quantitative research teams is crucial to optimize algorithms and infrastructure. Staying compliant with regulatory changes and ensuring system reliability under heavy market loads are also key aspects of the role.
To get a job in high frequency trading, candidates typically need a strong background in computer science, mathematics, or engineering, along with programming skills in languages like C++ or Python. Experience with low-latency systems, algorithm development, and understanding financial markets are also important. Internships or roles in quantitative analysis can provide relevant experience for entry into this field.
High frequency trading jobs involve developing and maintaining algorithms that execute trades at extremely high speeds, often within milliseconds. These roles typically require strong programming skills, knowledge of financial markets, and experience with low-latency systems and trading platforms.
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